OpenCV is an open-source python library. OpenCV provides tools for reading and writing images, video capturing and analysis, and basic image processing, face recognition, and computer vision techniques. OpenCV supports a wide range of languages like python, java, and C++. we can use OpenCV with libraries like NumPy and TensorFlow to generate some powerful results. In this tutorial, we’ll learn everything about OpenCV and image processing with some projects.
OpenCV stands for Open Source Computer Vision Library. it was officially released in the year 1999 by intel it was later supported by Willow Garage and then Itseez. At an early stage, it was written and used in C and C++ but now it can be used in python.
Image processing - Image processing is the technique to perform operations on images, such as manipulation, improvement, and analysis. It is used to perform tasks such as image enhancement, restoration, and compression.
Computer vision - Computer vision is the field of artificial intelligence and computer science that aims to enable computers to interpret and understand the visual world. It involves developing techniques for computers to extract, analyze, and understand features and patterns from images and videos in a way that is similar to how humans process visual information.
These are the main features of the OpenCV library -
Read and Transform Images.
Extract region of interest from images.
Capture, analyze, and transform videos.
Detect objects from images and videos.
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